B.Sc. (Computer Science)- NEP- Syllabus - Sem. I

Sant Gadge Baba Amravati University

  • Faculty: Science and Technology

  • Degree Programs:

    • Bachelor of Science with Major in:

      • Computer Science

      • Information Technology

      • Computer Application (Regular)

      • Computer Application (Vocational)

      • Data Analytics (3-Year Program)

      • (4-Year Programs - Honors and Honors with Research)

Preamble

  • Curriculum Goals:

    • Develop core competencies in computing and problem solving.

    • Emphasis on "Learning to Learn" since inception.

    • Focus on theoretical foundations to foster critical thinking.

  • NEP2020 Student-Centric Features:

    • Flexibility to Exit: Early exits supported to develop employability skills without compromising degree outcomes.

    • Early programming courses to build foundational skills.

  • Employability:

    • Addressing increased industry demand in IT sector due to overwhelming data from various domains.

    • Equipped with AI, Machine Learning tools, and Data Science pathways alongside foundational programming courses.

  • Research Preparation:

    • Specializations available for final year research projects.

Program Outcomes

Knowledge Outcomes

  • PO1: Develop problem-solving abilities via computing.

  • PO2: Build knowledge for research and development in Computer Science.

Skill Outcomes

  • PO3: Develop analytical skills for effective solutions.

  • PO4: Train in professional skills relevant to the software industry.

Generic Outcomes

  • PO5: Stay updated on recent IT developments.

  • PO6: Foster a scientific mindset and contribute to research addressing global issues.

Program Specific Outcomes (PSOs)

  • PSO1: Knowledge of technical subjects (C programming, Database Management, Software Engineering, Networking).

  • PSO2: Understanding software applications and projects.

  • PSO3: Practical demonstration of programming and theoretical concepts using ICT tools.

  • PSO4: Development of in-house applications through projects.

  • PSO5: Build analytical and logical thinking abilities.

  • PSO6: Awareness of publishing work in academic journals.

  • PSO7: Enhance employability aligned with IT industry demands.

Course Structure for Semester I

Course Details

  • Credits: 4.5

  • Teaching Hours: Varies by course

  • Examination Duration: 2 or 4 hours

  • Max Marks: 30 or 50 depending on the course

Course Examples

  • Fundamentals of Computer:

    • Credits: 2

    • Teaching Hours: 30

    • Max Marks: 30

    • Objectives: Provide computer basics, memory concepts, input-output devices, operating systems.

    • Outcomes: Define computer structures, types of memory, and operating systems.

    • Units:

      • Unit I: Introduction to Computers (8 Hrs, 8 Marks)

      • Unit II: Types of Memory (7 Hrs, 7 Marks)

      • Unit III: Input/Output Devices (8 Hrs, 8 Marks)

      • Unit IV: Operating System Functions (7 Hrs, 7 Marks)

    • References: P.K. Sinha, B. Ram, etc.

Laboratory Courses

  • Office Automation Tools:

    • Learn MS-Word, Excel, PowerPoint.

    • Practical assignments to apply learned concepts.

  • Information Communication Technology Tools:

    • Use of ICT applications, tools, and software for educational purposes.

Learning Resources

  • MOOC Links for course content:

    • Swayam, Class Central, NPTEL links available for student reference.

Model Questions

Short Type (Examples)

  • Define computer and explain its characteristics.

  • What are the functions of memory?

  • List the input-output devices of computers.

Long Type (Examples)

  • Explain the block diagram of a computer.

  • Describe the types of operating systems.

MCQs for Internal Assessment

  • Sample Question: Who is the father of Computers?

    • a) James Gosling

    • b) Charles Babbage

    • c) Dennis Ritchie

    • d) Bjarne Stroustrup

    • Answer: b) Charles Babbage

Conclusion

  • The curriculum prepares students with a robust foundation in Computer Science for both academic and professional advancements, with potential pathways for further research and industry demands.

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